curved1_s_cone

本程序执行CDMA仿真并确定半马尔克夫模型，输出为误比特率以及所需的游程。希望你能喜欢。(this program simulated the CDMA and get the HMM .the ouput are ber and run-length. i hope you can like it )

HJUIDFYUI HUIYDIUVYIDF JHIUYD8SUV8O JDUIVYI

风场输入文件，FVCOM,热通量计算使用(Wind field input file, FVCOM, heat flux calculation)

说明：  自己收集的一些MATLAB程序 simulink 模型(some MATLAB program simulink)

code for mahalnobis distance

MATLAB编程实现连续断层工业CT图像的三维重建()

说明：  <声学海洋学原理>国外经典书籍，学习水声原理和海洋学必读(&lt Acoustic Oceanographic principle&gt of foreign classics, learning theory and oceanographic acoustic Required)

说明：  matlab的svm中使用的交叉验证函数（kfold），一般libsvm数据包中没有，需要自己加入(The svm matlab to use the cross-validation function (kfold), general packet libsvm no need to add yourself)

压缩感知代码,matlab,l1qc_example(Compressed Sensing code Matlab, l1qc_example)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)